Safe Element Screening for Submodular Function Minimization
Authors: Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang
ICML 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiment results on both synthetic and real datasets demonstrate the significant speedups gained by our approach. |
| Researcher Affiliation | Collaboration | 1Tencent AI Lab 2State Key Lab of CAD&CG, Zhejiang University. |
| Pseudocode | Yes | Algorithm 2 Inactive and Active Element Screening |
| Open Source Code | No | The paper does not provide any statement or link regarding the availability of its source code. |
| Open Datasets | Yes | We perform experiments on a synthetic dataset named two-moons... We use five images (included in the supplemental material) in (Rother et al., 2004) to evaluate IAES. |
| Dataset Splits | No | The paper describes the datasets used but does not specify any training, validation, or test splits. |
| Hardware Specification | Yes | We write the code in Matlab and perform all the computations on a single core of Intel(R) Core(TM) i7-5930K 3.50GHz, 32GB MEM. |
| Software Dependencies | No | The paper mentions "We write the code in Matlab" but does not provide specific version numbers for Matlab or any other software dependencies. |
| Experiment Setup | Yes | We set the accuracy tolerance ϵ to be 10 6. ... In our experiment, we set ρ = 0.5 and it achieves a good performance. |